Jev: Getting Started with Decision Models

This is the repository for the LinkedIn Learning course Jev: Getting Started with Decision Models. The full course is available from LinkedIn Learning.

Course Description

AI applications often need to make structured decisions, from routing requests and selecting tools to determining when human review is needed. In this course, AI consultant and founder Harshit Tyagi, shows you how to use Jev decision models to bring structured decision-making into application workflows. Explore how decision models work, choose the right question type for different scenarios, and connect Jev to an existing application through its API. You’ll also learn to use confidence scores to manage uncertainty and human review, as well as build evaluation sets to test and improve decision workflows.

Learning Objectives

• Explain how decision models support application workflows.
• Choose question types for different decision scenarios.
• Integrate Jev decision models into an application.
• Use confidence scores and evaluations to improve decision workflows.

See the readme file in the main branch for updated instructions and information.

Instructions

This repository has branches for each of the videos in the course. You can use the branch pop up menu in github to switch to a specific branch and take a look at the course at that stage, or you can add /tree/BRANCH_NAME to the URL to go to the branch you want to access.

Branches

The branches are structured to correspond to the videos in the course. The naming convention is CHAPTER#_MOVIE#. As an example, the branch named 02_03 corresponds to the second chapter and the third video in that chapter. Some branches will have a beginning and an end state. These are marked with the letters b for "beginning" and e for "end". The b branch contains the code as it is at the beginning of the movie. The e branch contains the code as it is at the end of the movie. The main branch holds the final state of the code when in the course.

When switching from one exercise files branch to the next after making changes to the files, you may get a message like this:

error: Your local changes to the following files would be overwritten by checkout:        [files]
Please commit your changes or stash them before you switch branches.
Aborting

To resolve this issue:

Add changes to git using this command: git add .
Commit changes using this command: git commit -m "some message"

Installing

1. To use these exercise files, you must have the following installed:
   • [list of requirements for course]
2. Clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.
3. [Course-specific instructions]

Instructor

Harshit Tyagi - AI consultant & founder of Agentiwise AI Agency

Instructor description Harshit deploys proven AI solutions that help enterprises become AI first. At Agentiwise, he supports organizations in implementing AI systems, building internal tools, and adopting AI with clear focus on ROI.

He has also taught AI to a large global audience through his courses, corporate training, and YouTube content, which has helped him sharpen a practical style of explaining complex business ideas so they're easier to understand and apply.

Check out my other courses on LinkedIn Learning.